AI Data Engineer

Job Summary

To ensure high-quality, structured data for AI tools, the remote AI Data Engineer will build and maintain custom data integrations, optimize data pipelines, and manage the AI Data Library while collaborating with various teams to enhance data accessibility and quality.

Key responsibilities

• Building and maintaining custom connectors and ETL pipelines to extract data from core business systems
• Designing and optimizing data pipelines for AI knowledge bases and improving Retrieval-Augmented Generation (RAG) performance
• Creating and managing the AI Data Library, including identifying and integrating "Dark Data" into the AI ecosystem

Required qualifications

• 5+ years of experience in data engineering, ETL development, or database management
• Strong experience in building custom API connectors and data ingestion scripts
• Demonstrated experience with integrating data into Enterprise Search engines and AI agents
• Proficiency in SQL and Python, with a focus on unstructured data and NLP concepts
• Practical experience preparing data for Large Language Models and agentic orchestration tools